IEEE VAST CHALLENGE 2022


Entry Name: “RLR-SMU-C3”
VAST Challenge 2022
Challenge 3

Team Members:

Leslie Long Nu, Singapore Management University,
Raunak Kapur, Singapore Management University,
Raveena Chakrapani, Singapore Management University,

Student Team: YES

Tools Used:

Approximately how many hours were spent working on this submission in total? 60

May we post your submission in the Visual Analytics Benchmark Repository after VAST Challenge 2022 is complete? YES

Video

video

Consider the financial status of Engagement’s businesses and residents. Use visual analytics to analyze the available data and develop responses to the questions to be provided. In addition, prepare a video that shows how you used visual analytics to solve this challenge.

Questions

1 – Over the period covered by the dataset, which businesses appear to be more prosperous? Which appear to be struggling? Describe your rationale for your answers. Limit your response to 10 images and 500 words.

2 – How does the financial health of the residents change over the period covered by the dataset? How do wages compare to the overall cost of living in Engagement? Are there groups that appear to exhibit similar patterns? Describe your rationale for your answers. Limit your response to 10 images and 500 words.

How does the financial health of the residents change over the period covered by the dataset

Are we financially fit?

The dashboard helps us understand the Earning and Expenditure pattern of the participants in the last 15 months. We can notice here that 131 participants have moved from the city in the period as they are not recorded. On scrolling through each and every participant, we see a sharp peak in the Expense category which denotes the rent payment for the shelter in the month of March. This may include the annual maintainance as well along with the rent.

On choosing joviality as one of the filters, we can see those whose cost of living is nearing a straight line over the months are happier than the ones whose cost of living fluctuate

The cost of living may not stay constant when you have kids in the house

How do wages compare to the overall cost of living in Engagement?

Observations:

How much do they spend?

Averaging the proportion in the past 15 months, we can see that participants who spend a lot on education, spend less on other categories which goes on to prove that raising a kid is expensive in the city. Similarly those who spend a lot on shelter, have no such responsibilities and as a result can afford to pay high rent.

As it can be noticed here, the participants tend to spend more on recreation than food. Studying the weekday and weekend patterns, we can see an increase in the expense during the weekend. But overall, even if its a weekday or a weekend, one wants to balance out between work and play and ensures that they do not spend all their time working but spend a considerable amount of time enjoying and refreshing themselves.

###Are there groups that appear to exhibit similar patterns?

How similar are the groups